Research Methods in Psychology 23/24
  • Module Information
  • Weekly Schedule
  • Week Overviews
  • Slides
  • Worksheets
  • Extras

Schedule

Here’s your roadmap for the year! Pay attention!

Every class session has four important sections. You should read about the details for each using the main menu at the top of this webpage.

  • Overview (): This page overviews the weeks

  • Lecture slides (): This page is for lectures

  • Lab slides (): This page is about labs

  • Worksheets (): This page is about labs

  • Extras (): This page is about Extras

tl;dr: You should follow this general process each week:

  • Check out the overview () page and do any thinking/reading/prep suggested if you have the chance
  • Come to the lecture () page
  • Attend the lab () and get cracking
  • Use the plentiful Mini-Diss resources () to help you smash the MD

Weekly schedule

week date topic overview lecture lab worksheets extras notes
0 Monday, 25 September

Lecture: Module Overview and Coursework requirements
Lab: N/A

1 Monday, 02 October

Lecture: Module overview and what is Science?
Lab: Welcome to the Lab - group formation and topic brainstorming

2 Monday, 09 October

Lecture: Asking good questions and gathering evidence
Lab: Literature Search & Management, Critical Appraisal & Effect Sizes

3 Monday, 16 October

Lecture: Being critical and evaluating the work of others \n Lab: Planning for Success, & The Critical Proposal Coursework

4 Monday, 23 October

Lecture: There’s no ‘I’ in Research.. Making Psychology personal \n Lab: Experimental variables, design and notation

5 Monday, 30 October

Lecture: The Open Science movement in Psychology \n Lab: Critical Proposal support and Power Calculations

Reading Week
6 Monday, 13 November

Lecture: Operationalisation of variables and bringing concepts to life \n Lab: Collecting Data Online and in Person

7 Monday, 20 November

Lecture: How do we measure or assess psychological concepts and constructs?\n Lab: Task development and Ethics applications

8 Monday, 27 November

Lecture: Developing and validating a psychological measure of ‘X’\n Lab: Task development and Ethics workshop [Peer Review]

9 Monday, 04 December

Lecture: Communicating science: Lessons from legends\n Lab: Participant Recruitment Planning & Yr 3 Dissertation Preview

10 Monday, 11 December

Lecture: Introducing the wonders of Qualitative research\n Lab: Open Science Requirements: Open Methods and Open Data

Winter Break
11 Monday, 08 January

Lecture: The foundations of Qualitative Research \n Lab: Data collection | Study Swap and Raw Data Setup/Review

12 Monday, 15 January

Lecture: Doing Qualitative Research \n Lab: Data collection | APA Report Writing Refresher

13 Monday, 22 January

Lecture: Reporting and Critiquing Qualitative Research\n Lab: Data collection | Raw Data, preprocessing and APA Methods Section & Open Materials

14 Monday, 29 January

Lecture: Inclusivity ½ (Dr. Tegan Penton) \n Lab: Data collection | Analysis Plans and APA Results Section

15 Monday, 05 February

Lecture: Inclusivity 2/2 (Dr. Tegan Penton) \n Lab: Data collection | Data export, preprocessing & Open Data

Reading Week
16 Monday, 19 February

Lecture: CHIP - Metacognition and Reflective Practice\n Lab: Analysis | Three Flavours of ANOVA, Assumptions & Post-Hoc tests

17 Monday, 26 February

Lecture: CHIP - Psychology as Science & Philosophical Perspectives\n Lab: Analysis | Results write-up, APA formatting, figures and tables

18 Monday, 04 March

Lecture: CHIP - Evolution and Evolutionary Psychology\n Lab: Writing up | Focus on the Introduction & APA style

19 Monday, 11 March

Lecture: CHIP - Cultural Evolutionary Psychology & Cognitive Gadgets\n Lab: Writing up | Interpreting and discussing your results

20 Monday, 18 March

Lecture: CHIP - The dark history of statistics and wrap up Lab: Writing up | Pre-submission checklist & editing strategies

Week Dates Topic
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Content 2023 by Dr. Gordon Wright
All content licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0)

 

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